DETECTING IDENTITY SPOOFING ATTACKS IN MULTI-SENSOR SYSTEMS AND APPLICATIONS

    公开(公告)号:US20240022601A1

    公开(公告)日:2024-01-18

    申请号:US17863140

    申请日:2022-07-12

    Abstract: In various examples, techniques are described for detecting whether spoofing attacks are occurring using multiple sensors. Systems and methods are disclosed that include at least a first sensor having a first pose to capture a first perspective view of a user and a second sensor having a second pose to capture a second perspective view of the user. The first sensor and/or the second sensor may include an image sensor, a depth sensor, and/or the like. The systems and methods include a neural network that is configured to analyze first sensor data generated by the first sensor and second sensor data generated by the second sensor to determine whether a spoofing attack is occurring. The systems and methods may also perform one or more processes, such as facial recognition, based on whether the spoofing attack is occurring.

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